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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / LBR_2016-2017_HIES-W3_V01_EN_M_V01_A_OCS / variable [F37]
agricultural-surveys

Household Income and Expenditure Survey 2016-2017

Liberia, 2016 - 2017
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Reference ID
LBR_2016-2017_HIES-W3_v01_EN_M_v01_A_OCS
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
59120
Downloads
183
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • AG_01_&_FILT
  • AG_02
  • AG_03
  • AG_04
  • AG_5A_1
  • AG_5A_2
  • AG_5A_3
  • AG_5A_4
  • AG_5B_1
  • AG_5B_2
  • AG_5B_3
  • AG_5B_4
  • AG_06
  • AG_07
  • AG_08
  • AG_09
  • AG_10A_1
  • AG_10A_2
  • AG_10B
  • AG_11
  • AG_12
  • ALLHH_A_weighted
  • HH_A&FILT
  • HH_B
  • HH_C
  • HH_D
  • HH_E
  • HH_F
  • HH_G
  • HH_H
  • HH_I1
  • HH_I2
  • HH_J1
  • HH_J2
  • HH_K1
  • HH_K2
  • HH_L1A
  • HH_L1B
  • HH_L2
  • HH_M
  • HH_N1
  • HH_N2
  • HH_N3
  • HH_O
  • HH_P1
  • HH_P2
  • HH_Q
  • HH_R1
  • HH_S
  • HH_R

How much did you pay in total? (hh_l1a_02_1)

Data file: HH_L1A

Overview

Valid: 15891
Invalid: 67609
Minimum: 0
Maximum: 18000
Type: Discrete
Decimal: 0
Start: 58
End: 62
Width: 5
Range: 0 - 18000
Format: Numeric

Questions and instructions

Literal question
How much did you pay in total - LD?
Categories
Value Category Cases
0 320
2%
5 3738
23.5%
10 2051
12.9%
15 225
1.4%
20 392
2.5%
22 1
0%
25 183
1.2%
26 1
0%
30 197
1.2%
35 77
0.5%
40 168
1.1%
45 47
0.3%
50 485
3.1%
55 3
0%
60 199
1.3%
65 12
0.1%
70 178
1.1%
75 89
0.6%
80 67
0.4%
85 5
0%
90 62
0.4%
95 45
0.3%
100 1191
7.5%
101 1
0%
105 66
0.4%
110 334
2.1%
115 9
0.1%
120 191
1.2%
125 78
0.5%
130 33
0.2%
135 5
0%
140 102
0.6%
145 1
0%
150 253
1.6%
160 27
0.2%
170 8
0.1%
175 61
0.4%
180 87
0.5%
185 7
0%
190 52
0.3%
195 6
0%
200 1092
6.9%
205 2
0%
210 51
0.3%
215 1
0%
220 217
1.4%
225 16
0.1%
230 12
0.1%
235 1
0%
240 100
0.6%
245 2
0%
250 207
1.3%
255 1
0%
260 14
0.1%
265 4
0%
270 15
0.1%
275 16
0.1%
280 40
0.3%
285 12
0.1%
290 6
0%
295 4
0%
300 574
3.6%
310 6
0%
315 2
0%
320 11
0.1%
325 6
0%
330 63
0.4%
340 8
0.1%
345 1
0%
350 117
0.7%
360 62
0.4%
370 4
0%
375 9
0.1%
380 27
0.2%
390 3
0%
395 1
0%
400 334
2.1%
405 1
0%
410 3
0%
420 26
0.2%
425 3
0%
430 3
0%
440 38
0.2%
450 55
0.3%
455 1
0%
460 3
0%
470 2
0%
475 5
0%
480 27
0.2%
490 9
0.1%
500 259
1.6%
520 5
0%
525 3
0%
530 3
0%
540 8
0.1%
550 17
0.1%
560 16
0.1%
570 6
0%
575 1
0%
580 3
0%
585 1
0%
590 2
0%
600 206
1.3%
610 1
0%
620 1
0%
625 2
0%
630 2
0%
640 6
0%
650 17
0.1%
660 4
0%
670 1
0%
675 3
0%
680 6
0%
700 110
0.7%
710 2
0%
720 14
0.1%
725 1
0%
730 1
0%
735 1
0%
740 1
0%
750 29
0.2%
760 3
0%
765 1
0%
770 1
0%
775 2
0%
780 4
0%
800 126
0.8%
810 1
0%
820 2
0%
825 3
0%
830 3
0%
840 9
0.1%
845 1
0%
850 9
0.1%
860 5
0%
875 1
0%
880 2
0%
900 38
0.2%
910 1
0%
940 1
0%
950 5
0%
960 2
0%
970 1
0%
975 1
0%
980 1
0%
990 6
0%
995 1
0%
1000 119
0.7%
1020 3
0%
1025 2
0%
1030 2
0%
1035 1
0%
1040 1
0%
1050 7
0%
1060 1
0%
1080 3
0%
1100 14
0.1%
1120 5
0%
1130 1
0%
1140 2
0%
1150 2
0%
1160 2
0%
1180 1
0%
1200 49
0.3%
1250 6
0%
1260 2
0%
1280 1
0%
1300 16
0.1%
1320 1
0%
1330 1
0%
1340 1
0%
1350 7
0%
1360 2
0%
1380 1
0%
1400 36
0.2%
1410 1
0%
1440 2
0%
1450 4
0%
1500 65
0.4%
1550 3
0%
1560 1
0%
1575 1
0%
1590 1
0%
1600 26
0.2%
1610 2
0%
1620 2
0%
1675 1
0%
1680 1
0%
1700 10
0.1%
1710 1
0%
1750 8
0.1%
1770 1
0%
1800 28
0.2%
1820 2
0%
1850 4
0%
1855 2
0%
1860 1
0%
1890 2
0%
1900 4
0%
1920 2
0%
1925 1
0%
1950 2
0%
1960 2
0%
1980 3
0%
2000 36
0.2%
2010 1
0%
2040 1
0%
2065 1
0%
2100 4
0%
2200 2
0%
2240 2
0%
2300 5
0%
2400 9
0.1%
2450 2
0%
2475 1
0%
2500 16
0.1%
2600 2
0%
2700 4
0%
2800 10
0.1%
2850 1
0%
2875 1
0%
3000 28
0.2%
3100 1
0%
3200 2
0%
3220 1
0%
3300 1
0%
3400 2
0%
3480 1
0%
3500 8
0.1%
3600 3
0%
3710 1
0%
3850 1
0%
4000 9
0.1%
4050 2
0%
4200 3
0%
4500 2
0%
4800 1
0%
5000 6
0%
5100 1
0%
5200 1
0%
5250 1
0%
5600 1
0%
5800 1
0%
6000 2
0%
6400 1
0%
8750 1
0%
9000 2
0%
10000 1
0%
18000 1
0%
Sysmiss 67609
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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